Rfam: Reset-failure-aware-model for hfo2-based memristor to enhance the reliability of neuromorphic design H Das, M Rathore, R Febbo, M Liehr, NC Cady, GS Rose Proceedings of the Great Lakes Symposium on VLSI 2023, 281-286, 2023 | 9 | 2023 |
Reliability analysis of memristive reservoir computing architecture M Rathore, R Febbo, A Foshie, SNB Tushar, H Das, GS Rose Proceedings of the Great Lakes Symposium on VLSI 2023, 131-136, 2023 | 7 | 2023 |
A Compact Model for the Variable Switching Dynamics of HfO2 Memristors M Rathore, RJ Weiss, MSA Shawkat, GS Rose, M Liehr, M Abedin, ... 2022 IEEE 65th International Midwest Symposium on Circuits and Systems …, 2022 | 4 | 2022 |
SpiCS-Net: Circuit Switched Network on Chip for Area-Efficient Spiking Recurrent Neural Networks M Rathore, GS Rose 2024 37th International Conference on VLSI Design and 2024 23rd …, 2024 | 3 | 2024 |
Leveraging Sparsity of SRNNs for Reconfigurable and Resource-Efficient Network-on-Chip M Rathore, GS Rose 2024 Neuro Inspired Computational Elements Conference (NICE), 1-8, 2024 | 1 | 2024 |
AnSpiCS-Net: Reconfigurable Network-on-Chip for Analog Spiking Recurrent Neural Networks M Rathore, GS Rose 2024 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2024 | | 2024 |
CMOS-Memristive Neuromorphic Architecture for Nonlinear Signal Processing M Rathore | | 2024 |